X2V-AI-Images-Videos-skill — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by xinyiqin · Codex Skill · ★ 8

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is X2V-AI-Images-Videos-skill safe to install? View the security audit →

About X2V-AI-Images-Videos-skill

[LightX2V](https://x2v.light-ai.top) integration for [OpenClaw](https://openclaw.ai) — image generation (t2i/i2i), video (t2v/i2v/s2v), TTS, and voice clone via cloud API.

Quick Facts

Stars8
Forks0
LanguageShell
CategoryCodex Skill
Quality Score63.3745772881794/100
Last Updated2026-03-10
Created2026-03-09
Platformscli
Est. Tokens~12k

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Frequently Asked Questions

What is X2V-AI-Images-Videos-skill?

X2V-AI-Images-Videos-skill is [LightX2V](https://x2v.light-ai.top) integration for [OpenClaw](https://openclaw.ai) — image generation (t2i/i2i), video (t2v/i2v/s2v), TTS, and voice clone via cloud API.. It is categorized as a Codex Skill with 8 GitHub stars.

What programming language is X2V-AI-Images-Videos-skill written in?

X2V-AI-Images-Videos-skill is primarily written in Shell.

How do I install or use X2V-AI-Images-Videos-skill?

You can find installation instructions and usage details in the X2V-AI-Images-Videos-skill GitHub repository at github.com/xinyiqin/X2V-AI-Images-Videos-skill. The project has 8 stars and 0 forks, indicating an active community.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools